Enhanced Deep Learning Based Cryptographic Digital Optical Chaotic Mapping Method for Image Encryption

Abstract

In multimedia, assume a significant part for transmission as well as this is vital to safeguard the image information while sending over network. One of the most crucial things in the next scenario is the transmission of images to multimedia material. Images are crucial for multimedia transmission, and it's critical to safeguard picture data when it's being transmitted across a network. Image encryption and decryption can be used to do this, and a variety of strategies should be applied to safeguard private image data from unwanted access. In this work, the suggested approach Digital Chaotic Mapping based on digital image encryption is contrasted with previous studies that have used various techniques for picture encryption through the utilize the related deep learning methods are to be simplify the exploration of a variability of image. The suggested approach was utilised to assess other image-related measures, including F1-score, recall, and precision. The proposed approach yields the best results in terms of the accuracy of the encrypted image, whereas accuracy values compare the methods that are currently in use.